PiE : The intelligence engine
behind structured product understanding.

PiE combines pack data, brand inputs, domain science, and live consumer signals to create structured, evidence-linked product intelligence powering TruthIn, IntelliServ, APIs, and research workflows.

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0+
Pack-derived attributes
0K
SKUs processed
0M+
Scans powering freshness

Product truth is harder
than extraction alone.

Reliable product attribution takes more than extraction. It takes messy inputs, domain logic, validation, freshness, and production delivery working as one system.

Complex to Structured
Messy inputs
Reconciling fragmented data from packs, listings, suppliers, and consumers.
Domain taxonomies
Applying category-specific logic to ingredients, claims, nutrients, and certifications.
Trained attribution
Learning from high-confidence data and real-world edge cases.
Evidence and review
Delivering traceable, reviewable, and defensible outputs.
Freshness loops
Keeping intelligence current as products, packs, and catalogs change.

Built on a living product corpus.

PiE is grounded in high-confidence labels, broad category coverage, and live consumer signals that keep product truth usable in production.

0K
high-confidence SKUs
0+
categories trained on
0M+
scans powering freshness
0K+
consumers contributing

One intelligence engine. Multiple delivery surfaces.

PiE powers consumer experiences, enterprise workflows, APIs,
and research-grade product intelligence

Capture & Ingestion
Ingest pack images, brand data, e-commerce assets, and field inputs through a common layer built for real-world data.
Taxonomy & Attribution
Transform ingredients, nutrients, claims, warnings, and certifications into structured, reusable attributes.
Evidence & Freshness
Ensure accuracy through cross-source validation, confidence scoring, and continuous freshness checks.
PiE Technology
TruthIn
Consumer-facing intelligence that delivers instant product understanding, scan-to-buy discovery, and a continuous feedback loop.
IntelliServ
Enterprise product intelligence platform for extraction, validation, exports, custom schemas, and operational workflows.
API & Research Workflows
Deliver structured product intelligence into enterprise systems, data pipelines, and research environments.

Technology only matters
when it ships.

PiE combines operational delivery, live consumer feedback and domain science so product intelligence stays usable in the real world, not just in a model demo.

Built for real catalog conditions.

Because real product intelligence must work beyond clean datasets—across fragmented catalogs, changing products, and operational complexity.

Flexible ingestion
Ingest pack images, e-commerce assets, supplier files, and field data through a common workflow.
Data readiness
Built for metadata gaps, pack changes, and incomplete product information.
Enterprise delivery
Deliver structured outputs through CSV or APIs with predictable quality, throughput, and turnaround.

Built to compound.

Every product, signal, and workflow helps PiE learn, improve, and deliver stronger product intelligence over time.

01
Live corpus
High-confidence product data combined with real-world catalog diversity.
70K+ High-confidence SKUs
02
TruthIn flywheel
Consumer scans and pack-change signals continuously improve freshness and relevance.
800K+ Users contributing
5M+ Scans powering freshness
03
Evidence trail
Traceable, explainable, and defensible product intelligence.
Dynamic attribution with a why trail
04
Domain science
Ingredient taxonomy, nutrition logic, and compliance-aligned reasoning built into every output.
Science-backed workflows
Next step

Bring PiE into your
product intelligence stack.

Whether you are evaluating APIs, custom attribution, or research-grade product data, we can show you how PiE fits into your workflow.

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✓ API, CSV, and custom workflows
✓ TruthIn, IntelliServ, and research on one engine